Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
- Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
- Make informed decisions by identifying the strengths and weaknesses of different tools
- Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
- Understand the distributed systems research upon which modern databases are built
- Peek behind the scenes of major online services, and learn from their architectures
-
Designing Data-Intensive Applications book
-
Data intensive applications book
-
Martin Kleppmann book
-
Distributed systems design book
-
Scalable systems architecture book
-
Reliable data systems book
-
Data engineering fundamentals book
-
Big data system design book
-
Database systems architecture book
-
Distributed data systems book
-
Data consistency and replication book
-
Scalable data architecture guide
-
Data storage systems book
-
Data processing systems book
-
System design for data intensive apps
-
Data engineering best practices book
-
Distributed databases book
-
Fault tolerant systems design
-
Data pipelines architecture book
-
Event driven data systems book
-
Stream processing systems book
-
Data intensive system design principles
-
Data systems reliability book
-
Data architecture reference book
-
Data engineering textbook
-
System scalability and performance book
-
Data modeling for distributed systems
-
CAP theorem explained book
-
Data consistency models book
-
Distributed transactions book
-
Modern data systems book
-
Data engineering learning resource
-
Data intensive applications guide
-
Software architecture for data systems
-
Data engineering for professionals
-
Data systems design patterns
-
Cloud data architecture book
-
Data intensive systems handbook
-
Data systems design first edition
-
Buy Designing Data-Intensive Applications book online
-
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
-Therapy-Basic-Principles,-Protocols,-and-Procedures.jpg)
.jpeg)
![Diagnostic and Statistical Manual of Mental Disorders and DSM 5 TR Desk reference [ study pack ] Text Revision Dsm-5-tr 5th Edition by American Psychiatric Association (Author)](https://thetradeaura.com/upload/product/1767077305-dsm-5-tr.jpg)
Add a Review
Your email address will not be published. Required fields are marked *